ScholarGate
Assistent

Methoden vergelijken

Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.

Rough-SAW×Bayesiaanse BWM×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan20172020
GrondleggerStević, Ž. Pamučar, D. Zavadskas, E.K. Ćirović, G. Prentkovskis, O.Mohammadi, M., Rezaei, J.
TypeRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oorspronkelijke bronStević, Ž., Pamučar, D., Zavadskas, E.K., Ćirović, G., Prentkovskis, O. (2017). The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods. Symmetry DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Aliassen
Verwant88
SamenvattingROUGH-SAW (Rough-SAW — Rough extension of SAW) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž. Pamučar, D. Zavadskas, E.K. Ćirović, G. Prentkovskis, O. in 2017. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateGegevensset
  1. v1
  2. 1 Bronnen
  3. PUBLISHED
  1. v1
  2. 1 Bronnen
  3. PUBLISHED

Naar zoeken Dia's downloaden

ScholarGateMethoden vergelijken: ROUGH-SAW · BWM-BAYESIAN. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare